Robust lane marking detection based on multi-feature fusion
In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehic...
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| Format: | article |
| Sprog: | engelsk |
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2018
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| Online adgang: | https://ieeexplore.ieee.org/abstract/document/7529668/ http://ridda2.utp.ac.pa/handle/123456789/5095 |
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| _version_ | 1869652473705136128 |
|---|---|
| author | Cáceres Hernández, Danilo |
| author2 | Seo, Dongwook Hyun Jo, Kang |
| author2_role | author author |
| author_browse | Cáceres Hernández, Danilo Hyun Jo, Kang Seo, Dongwook |
| author_facet | Cáceres Hernández, Danilo Seo, Dongwook Hyun Jo, Kang |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Cáceres Hernández, Danilo Seo, Dongwook Hyun Jo, Kang |
| dc.date.none.fl_str_mv | 07/06/2016 07/06/2016 2018-06-29T22:03:13Z 2018-06-29T22:03:13Z 2018-06-29T22:03:13Z 2018-06-29T22:03:13Z |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/abstract/document/7529668/ http://ridda2.utp.ac.pa/handle/123456789/5095 http://ridda2.utp.ac.pa/handle/123456789/5095 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Image color analysis Feature extraction Roads Image edge detection Cameras Vehicles Image segmentation Image color analysis Feature extraction Roads Image edge detection Cameras Vehicles Image segmentation |
| dc.title.none.fl_str_mv | Robust lane marking detection based on multi-feature fusion |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehicle speed the road surface region of interest is extracted using the typical stopping distance. Secondly, a lane marking clustering method is introduced. This is done by combining the edge and color information of the lane marking. Finally, a fitting model is implemented. A line fitting model is used to extract the lane marking parameters. However for those regions in which lane can not described as a line, the algorithm computed the curve parameters using Lagrange interpolating polynomial. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_b5e01737ff4a0b0f69d976e4fcc00cc5 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/5095 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Robust lane marking detection based on multi-feature fusionCáceres Hernández, DaniloSeo, DongwookHyun Jo, KangImage color analysisFeature extractionRoadsImage edge detectionCamerasVehiclesImage segmentationImage color analysisFeature extractionRoadsImage edge detectionCamerasVehiclesImage segmentationIn the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehicle speed the road surface region of interest is extracted using the typical stopping distance. Secondly, a lane marking clustering method is introduced. This is done by combining the edge and color information of the lane marking. Finally, a fitting model is implemented. A line fitting model is used to extract the lane marking parameters. However for those regions in which lane can not described as a line, the algorithm computed the curve parameters using Lagrange interpolating polynomial.In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehicle speed the road surface region of interest is extracted using the typical stopping distance. Secondly, a lane marking clustering method is introduced. This is done by combining the edge and color information of the lane marking. Finally, a fitting model is implemented. A line fitting model is used to extract the lane marking parameters. However for those regions in which lane can not described as a line, the algorithm computed the curve parameters using Lagrange interpolating polynomial.2018-06-29T22:03:13Z2018-06-29T22:03:13Z2018-06-29T22:03:13Z2018-06-29T22:03:13Z07/06/201607/06/2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/abstract/document/7529668/http://ridda2.utp.ac.pa/handle/123456789/5095http://ridda2.utp.ac.pa/handle/123456789/5095enginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/50952021-07-06T15:34:55Z |
| spellingShingle | Robust lane marking detection based on multi-feature fusion Cáceres Hernández, Danilo Image color analysis Feature extraction Roads Image edge detection Cameras Vehicles Image segmentation Image color analysis Feature extraction Roads Image edge detection Cameras Vehicles Image segmentation |
| status_str | publishedVersion |
| title | Robust lane marking detection based on multi-feature fusion |
| title_full | Robust lane marking detection based on multi-feature fusion |
| title_fullStr | Robust lane marking detection based on multi-feature fusion |
| title_full_unstemmed | Robust lane marking detection based on multi-feature fusion |
| title_short | Robust lane marking detection based on multi-feature fusion |
| title_sort | Robust lane marking detection based on multi-feature fusion |
| topic | Image color analysis Feature extraction Roads Image edge detection Cameras Vehicles Image segmentation Image color analysis Feature extraction Roads Image edge detection Cameras Vehicles Image segmentation |
| url | https://ieeexplore.ieee.org/abstract/document/7529668/ http://ridda2.utp.ac.pa/handle/123456789/5095 |